Data in Motion: It All Starts With Ingestion

DataTorrent

Ingesting and extracting data from Hadoop can be a frustrating, time consuming activity for many enterprises. DataTorrent Data Ingestion is a standalone big data application that simplifies the collection.
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Spotlight

US retailers lose an estimated 60 billion dollars per year from shoplifting, employee and vendor theft, and administrative error, according to the National Retail Federation. These losses, collectively known as “inventory shrink” average 2% of total retail sales.


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Accelerating the Value of Big Data Analytics for P&C Insurers

Hortonworks

As the Big Data Analytics and the Apache Hadoop ecosystem has matured and gained increasing traction in established industries with faster adoption in the insurance market than originally anticipated, it is clear that the potential benefits for data management and business intelligence are staggering. At the same time, many big data programs have stalled or failed to deliver on their aspirational value proposition, resulting in a substantial gap between expectations of analytics consumers and the ability of big data analytics programs to deliver.
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Integrating Data Silos with your Big Data Systems in Real-Time

Oracle

It is increasingly evident that organizations can realize the full potential value of their data assets by combining the structured transactional data with semi-structured and unstructured data. Businesses also notice that to be agile and react to situations in real time, access to transactional data with low latency is essential. Low-latency transactional data brings additional value especially for dynamically changing operations that day-old data, structured or unstructured, cannot deliver. Streaming transactional data into big data solutions in real time, without degrading the performance of the source production systems will lay the foundation for more efficient operations and improved customer experience.
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Automating Big Data Technologies for Faster Time-to-Value

AWS Amazon Cloud‎

Big data technologies can be extremely complex and require manual operation. If you can intelligently automate your Big Data operations then you can lower your costs, make your team more productive, scale more efficiently, and lower the risk of failure. Demandbase, creator of a targeting and personalization platform for business-to-business (B2B) companies, uses Qubole and a data lake on AWS to reduce the management complexities and costs of processing and analyzing their data. Hear how Qubole empowers Demandbase to analyze trillions of rows of structured and unstructured data in real time, making their data scientists and data engineers productive since day one.
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How to Operationalize Data Science

Data science is a domain which promises to convert the available data in actionable insights. This could translate in huge wins for the organizations both in financial terms (higher revenues, reduce costs) but also in terms of better services for the customers with more tailored products and a personalized and improved customer experience...
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Spotlight

US retailers lose an estimated 60 billion dollars per year from shoplifting, employee and vendor theft, and administrative error, according to the National Retail Federation. These losses, collectively known as “inventory shrink” average 2% of total retail sales.

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